Tasks:
- * Apply systems engineering across design, prototyping, development, testing, and delivery
- * Build and maintain automation tools using Python, Bash, and C++
- * Create technical documentation user guides and training materials
- * Design and develop AI solutions for readiness and certification workflows
- * Develop AI agents, custom Skills, and MCP servers
- * Gather requirements and identify process bottlenecks
- * Integrate AI workflows with organizational data and tools
- * Support training teams and stakeholders with systems engineering and documentation
- * Use AI to develop, review, and maintain JQS and TQS documentation
Perks/Benefits:
- + 100% employee healthcare coverage
- + 11 federal holidays
- + 24 days of annual PTO
- + 401(k) direct contribution
- + 50% dependent healthcare coverage
- + Educational assistance for college classes
- + Job-related training and certification cost coverage
Skills/Tech stack required:
[Agentic Workflows] [AI Agents] [AI harnesses] [Artificial Intelligence] [Automation] [Bash] [C++] [Computer Networking] [Documentation generation] [JQS] [Language Models] [Large Language Models] [LLM Evaluation] [Machine Learning] [MCP server] [MCP server development] [Model Context Protocol] [Model Context Protocol MCP] [Network design] [Network Security] [Network Troubleshooting] [Operating Systems] [Prompt engineering] [Protocol MCP] [Python] [React] [Retrieval-Augmented Generation] [Retrieval-Augmented Generation RAG] [Server Development] [Systems engineering] [TQS] [TypeScript]
Educational requirements:
[Bachelor's degree in Computer Science or related discipline]
Role(s):
[AI Software Engineer] [Engineer] [Software Engineer] [Systems Engineer]